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One system for every marketing investment decision.

All your marketing data in one place: what drives revenue, where the next euro should go, and a ranked set of monthly recommendations. Managed by our team, delivered in the platform, to your warehouse, or your AI assistant.

Book a demo See how it works
The platform

From a fragmented view to a full picture.

Odins connects every sales and marketing data source, models what actually drives revenue, and delivers monthly recommendations you can act on.

  • Meta Ads
  • Google Ads
  • TikTok Ads
  • LinkedIn Ads
  • Snapchat Ads
  • TV, radio and out-of-home
  • Sales and revenue

and more sources

One managed system

Bayesian models, continuously validated against live data.
  • Marketing

    Prove what drives revenue

    An independent view of what each channel actually contributes.

  • Finance

    Find the right budget size

    Model spend scenarios and defend the number to the board.

  • Leadership

    Decide before committing

    Compare strategies and see the outcome before money is spent.

How Odins is different

Insights expire, systems don’t.

Odins replaces platform reporting and annual studies with one model, updated monthly and reviewed by our team.

Old approach

  • Each platform reports its own numbers
  • Budget set from last year’s, plus a percentage
  • Modeling delivered as a quarterly report
  • Channel decisions made on opinion
  • Uncertainty settled by gut feel

Always-on system

  • Every channel in one model, online and offline
  • Budget set by marginal return with confidence range
  • Models are continuously validated against live data
  • Channel decisions ranked by expected effect in EUR
  • Uncertainty settled with structured tests
See how it works

Capabilities

Advanced methodology, simple to act on.

Choose a capability to preview

See spend against what it actually returns.

Cross-channel reporting, online and offline. Spend tracked against modeled revenue over time, in Odins or pushed to your warehouse.

  • Spend and modeled revenue over time
  • Online and offline spend in one view
  • Incremental contribution, saturation, and marginal ROAS
Reporting & insights
app.odins.ai / reporting
Media spend8.62MChannels (Budget vs spend)
Revenue85.33MSales
Spend and Revenue
SpendRevenue
JanFebMarAprMayJun

Decide before spending.

Set a target, cap a channel, or put plans side by side: each with an expected outcome and a confidence range.

  • Compare budgets side by side
  • Every outcome with a confidence range
  • Cap or protect any channel
Scenario planning
app.odins.ai / scenarios
Total budget10.0M
Total revenue72.5M
Marketing ROAS3.7×
Channel group allocationShare
  • TV1.99M19.9%
  • Google_PMAX1.98M19.8%
  • Radio1.30M13.0%
  • Meta_Conversion1.07M10.7%
  • TikTok1.06M10.6%

The next move, specific enough to act on.

Ranked, channel-by-channel actions with expected impact, and structured tests where there is not enough data.

  • Ranked moves, expected effect in euros
  • Structured tests where data is thin
  • Human-reviewed before you see it
Recommendations & testing
app.odins.ai / recommendations
+492Kuplift in revenue — 16.24M → 16.74M optimized
Channel groupSuggested allocationStatus
Meta_Conversion↑ +81.8%Under Spending
Google_PMAX↑ +34.3%Under Spending
Google_Search↓ −20.2%Over Spending
TV↓ −61.4%Over Spending

Every data source, mapped and maintained.

One structured dataset behind every number. We build the pipelines and keep them running.

  • 600+ connectors, plus managed upload for TV, radio and OOH
  • Spend, impressions, sales and pricing in one schema
  • Warehouse export to BigQuery, Snowflake, Redshift, Databricks
Data integration
app.odins.ai / data-entry
Data connectors
SourceOctNovDecJanTrend
Google 422K497K507K476K
Meta 242K238K247K244K
TikTok 203K202K242K214K
Odins MCP

Or skip the dashboard and just ask the model.

Odins runs a marketing mix model on your own data. With MCP, your team can ask the model questions straight from the assistant they already use.

Compatible with
ClaudeChatGPTCopilot + any other AI assistant that supports MCP
Odins MCP
odins · mcp
What happens to Q3 sales if we move €1M from Performance Max to Meta?
Odins model
Current plan — Q3 sales56.7M
After the move — Q3 sales53.9M
Predicted change−2.8M
Media-driven sales by channel (€M)
Current planAfter move (PMax → Meta Conversion)
6M4M2M0 Perf. MaxMeta Conv.Meta Aware.SearchTikTok
Why it drops: Performance Max was earning ~5.3× on those euros. Poured into Meta Conversion, the same €1M earns only ~2.4× — Meta's average ROAS falls from 6.5 to 3.5 as spend triples and the channel saturates.
Who it's for

Built for the people who decide the budget.

Built for companies that treat marketing as an investment: a board-level line item, held to a measurable return per channel.

"We spend €1M+ on marketing and can't confidently say whether it's the right number."

You need a system that sizes the budget and says how confident it is: spend more, spend less, or hold, with the revenue effect attached.

"We have data in 20 platforms and no single view of what's working."

You need one structured dataset that brings every channel together, so the same numbers feed reporting, modeling, and planning.

"We built a model once, but nothing actually changed."

You need a model that’s operated, not delivered. Monthly recommendations, tested, measured, and retrained.

See the use cases
FAQ

Frequently asked questions.

Are we too small (or too big) for getting Odins models?
Odins fits companies with a marketing budget above €1M a year, spread across more than one channel.
Do we have enough data?
In order for our models to learn, we need 2 or more years of spend and revenue history. Partial fit still works: we scope a lighter model and sharpen it as data comes in.
How long does it take to get started?
We connect your data sources automatically, then start modeling. First model in 4 to 6 weeks from kickoff, trained on 2 to 3 years of history. The first set of recommendations arrives with that model, and a new set follows every month after.
Do we need a data team or engineering resources?
No. The only thing we usually need from your data team is access to your sales data, which is normally quick. We connect the sources, build and maintain the models, and review every recommendation before it reaches you. No data science required.
What do we receive from you over time?
Every month: a retrained model, ranked recommendations with expected outcomes and confidence ranges, and a review with our team. Every recommendation is reviewed by us and made relevant to your business before it reaches you. Every quarter: a strategy session on the broader development, the areas that matter most to you, and the experiments worth running next.
How is this different from hiring a media agency?
Odins is not a replacement for your agency. Agencies plan and run media, across channels and within them. We give that work an independent, modeled view of what actually drives revenue. In practice we often work alongside the agency, and they use the models to support the decisions they make on your behalf.
Talk to our team

Marketing spend, modeled like an investment.

A 30-minute walkthrough of how Odins models your marketing spend against business results.

Book a demo